Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Data-mining, GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design

Texto completo
Autor(es):
Martinelli Guerreiro, Thais de Cassia [1] ; Providelo, Janice Kirner [1] ; Pitombo, Cira Souza [1] ; Rodrigues Ramos, Rui Antonio [2] ; Rodrigues da Silva, Antonio Nelson [1]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Sao Carlos Sch Engn, Dept Transportat Engn, Ave Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP - Brazil
[2] Univ Minho, Dept Civil Engn, Braga - Portugal
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION; v. 12, n. 3, p. 179-191, 2018.
Citações Web of Science: 6
Resumo

In many Brazilian cities, the most common procedure for planning cycling networks is using aggregated population data in census tracts, which may not take into account the true origin and destination of trips. It may also not identify potential users of a particular mode of transport. This is particularly important considering that implementing cycling infrastructures should be based on the assumption that they are able to meet the users' needs. Therefore, the aim of this study is to develop and adopt an objective method to design and compare cycling networks based on data-mining of disaggregated origin-destination data, GIS resources, and multicriteria analysis techniques. The method follows three steps: 1) identifying potential users based on real user profiles, 2) designing proposed cycling networks and 3) a comparison between the networks proposed in this study and those developed by the municipality selected as a case study, considering real and potential users, as well as cost and benefit criteria. As a positive outcome, using disaggregated data allows for a reasonable estimate of the number of people served by the networks, a detailed analysis of their proximity to the infrastructure, as well as identifying potential users. Comparing cycling networks considering cost and benefit criteria shows that the chosen criteria were effective. It was also determined that the cycling network of the studied city poorly serves bicycle transport users, if compared to the proposed networks. These findings indicate that appropriate methods for planning cycling networks are still needed. (AU)

Processo FAPESP: 15/50129-5 - Designing and policy implementation for encouraging cycling and walking trips
Beneficiário:Antonio Nelson Rodrigues da Silva
Modalidade de apoio: Auxílio à Pesquisa - Temático